Meniscus news and blog articles
Read the latest Meniscus news and blog articles on big data, analysis, research, how-to, opinions, data management and videos.
Our latest release lets us run multiple instances of core modules (importers, calculators and invalidators) on multiple servers with the ability to start and stop instances on demand.
Overview of the Open Data leakage hackathon run by Yorkshire Water to identify new ways of applying Big Data and analytics solutions to the issue or water leakage
This project uses near real time satellite imagery to create short term predictions of output from PV farms to help optimise revenues for sites having battery storage
MAP Rain is our high performance, flexible and scalable cloud-based solution for rainfall and flood monitoring analytics. MAP Rain delivers location specific rainfall analytics for any point and any area of interest.
This post focuses on MAP’s (Meniscus Analytics Platform) IOT type capabilities for creating applications that can setup hundreds of thousands of entities (or meters and sensors in this video) which are created from a template using a web client application.
These predictions will in turn be used to create solar intensity predictions and from there output predictions for the PV site. The predictions will be based on satellite derived cloud cover imagery that will be updated every 15 to 30 minutes as new satellite imagery becomes available.
DCP 228 – the name of the upcoming regulatory change brought in by OFGEM – will see a modification to the way electricity distribution charges are calculated.
Hyperlocal Rainfall is an add on to our core MAP Rain solution. Using the latest radar rainfall data it predicts the path of the every rain cell (1km x1km) every 5 minutes for the next hour. When new radar rainfall arrives (which is every 5 minutes) it creates another set of predictions so you get […]